Introducing Insights by Metadata
- Gathers, aggregates and organizes comprehensive engagement data from multiple sources (ad channels, CRM, website traffic).
- Sifts through all your data, cutting through the noise to ‘spotlight’ the most promising accounts for you.
- Provides end-to-end view of the account journey and touchpoints.
- Utilizes Artificial Intelligence to predict opportunity creation and optimize engagement strategies.
Insights provides a comprehensive view of engagement touchpoints until opportunity closure, giving you detailed insights into the journey of each account from initial contact to final opportunity creation.
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Insights uses a data-driven engagement metric to prioritize accounts, ensuring that you focus on the most promising leads. The engagement score is calculated based on various factors, including website visits, LinkedIn ad impressions, and engagement metrics.
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Engagement Score - Model
The engagement score model involves:
- Training & Validation Data
- Machine Learning Model
- Input account journey data
- Output score
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Create audience segments based on specific engagement criteria, allowing for targeted marketing efforts and personalized communication strategies.
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Create retargeting lists based on engagement levels to re-engage users who have shown interest but haven't yet converted, maximizing the chances of conversion.
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Capture customer intent through targeted web pages, identifying users with high purchasing intent and focusing efforts on converting these leads.
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Sync account engagement data from Metadata to Salesforce, ensuring that your sales and marketing teams have the most up-to-date information to work with.
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